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Science Writing Internship Jobs in Spring Grove, PA

ECS Ltd

Construction Materials Internship (Level 1)

York, PA · On-site

$16.50 - $21.50/hr

Strong communication skills (verbal and written) * Dependable, detail-oriented, and organized work ... Today, we are a leader in geotechnical, construction materials, environmental and building science ...

ECS Ltd

Construction Materials Internship (Level 1)

York, PA · On-site

$16.50 - $21.50/hr

Strong communication skills (verbal and written) * Dependable, detail-oriented, and organized work ... Today, we are a leader in geotechnical, construction materials, environmental and building science ...

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Science Writing Internship information

See Spring Grove, PA salary details

$8

$15

$21

How much do science writing internship jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for science writing internship in Spring Grove, PA is $15.22, according to ZipRecruiter salary data. Most workers in this role earn between $12.26 and $17.16 per hour, depending on experience, location, and employer.

What is a science writing internship?

A Science Writing Internship is a temporary position designed to give aspiring science communicators hands-on experience in writing, editing, and publishing content related to scientific topics. Interns typically work with magazines, newspapers, universities, research institutions, or online publications to translate complex scientific research into clear and engaging stories for a general audience. These internships help participants develop skills in interviewing researchers, fact-checking, and understanding the editorial process. They are often aimed at students or recent graduates with backgrounds in science, journalism, or English.

What types of projects and writing assignments can I expect during a science writing internship?

As a Science Writing Intern, you will typically work on a variety of assignments such as writing news articles, blog posts, press releases, and feature stories about current scientific research or developments. You may interview scientists, attend conferences or seminars, and translate complex scientific concepts into engaging content for general audiences. Interns often collaborate closely with editors, researchers, and other writers, gaining valuable feedback and insight into science communication best practices. This hands-on experience helps build a strong portfolio and can open doors to future roles in science journalism or communication.

What are the key skills and qualifications needed to thrive as a science writing intern, and why are they important?

To thrive as a Science Writing Intern, you need a strong foundation in scientific literacy, research skills, and clear, concise writing, often supported by coursework in science or journalism. Familiarity with reference management tools, content management systems, and basic data visualization software is beneficial. Curiosity, attention to detail, and the ability to communicate complex ideas to diverse audiences are standout soft skills in this position. These skills are essential for accurately translating scientific information into engaging content that is accessible to the public or targeted readers.

What is the difference between Science Writing Internship vs Science Communication Assistant?

AspectScience Writing InternshipScience Communication Assistant
Required CredentialsUndergraduate or graduate in science or communicationsSimilar; often students or early career professionals
Work EnvironmentResearch institutions, media outlets, science magazinesPublic relations departments, science centers, educational organizations
Employer & Industry UsageResearch labs, universities, science mediaScience museums, government agencies, NGOs
Common Search & ComparisonFocuses on writing skills, scientific accuracy, and internshipsBroader science communication tasks, outreach, and media engagement

The Science Writing Internship primarily emphasizes developing writing skills for scientific content, often within research or media settings. In contrast, the Science Communication Assistant role involves broader communication tasks, including outreach and public engagement. Both roles require similar educational backgrounds and are common entry points into science communication careers, but they differ in scope and daily responsibilities.

What cities near Spring Grove, PA are hiring for Science Writing Internship jobs?

Cities near Spring Grove, PA with the most Science Writing Internship job openings:

Science Writing Internship jobs near you
Infographic showing various Science Writing Internship job openings in Spring Grove, PA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $31,666 per year, or $15.2 per hour.

Modeling and Visualization Engineer Co-Op

Campbell Soup Company

Hanover, PA • On-site

Full-time

Re-posted 27 days ago

Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover. Swanson, and V8.
Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.
BI Modeling and Visualization Engineer (mostly Power BI)
We are seeking a motivated and detail-oriented Modeling and Visualization Engineer to join our team. This co-op / internship offers hands-on experience reporting from a very involved data warehouse during a transition from Snowflake to Databricks. You will have the opportunity to learn and work with cutting-edge technologies within our modern Databricks environment. If you are passionate about the future of BI reporting and eager to build "actionable metrics" in reporting, we want to hear from you!
Key Responsibilities
  • Model Performance and Tuning: Determine where DirectQuery or Import mode is best in each table ingestion in Power Query. Be able to view and improve SQL generated for Databricks to run using Power Query steps in Power BI Desktop.
  • Collaborate with Agile Teams: Work with cross-functional teams to build out new enterprise reporting (from Databricks) that aligns with trusted existing reporting (from Snowflake) and participate in Agile ceremonies.
  • Explore External Tools: Research and test new or more efficient options the improve thru put of reporting development and valication.
  • Document AI Architectures: Help document model schemas, API integrations, and AI governance standards.

Learning & Development Opportunities
  • Hands-on training in Power BI, Databricks and Snowflaketechnologies.
  • Mentorship from senior Data Engineers and IT Business Analysts working on enterprise-scale deployments.
  • Practical experience building on Cloud/SaaS reporting infrastructure (e.g. Power BI Service, Azure, Databricks, Snowflake).
  • Platform Support & Administration:
    Assist in day-to-day administration of analytics and AI platforms such as Databricks, Snowflake, Power BI Service, and other SaaS solutions.
  • Monitoring & Troubleshooting:
    Learn how to monitor platform health, data refreshes, workloads, and integrations; help investigate and troubleshoot failures or performance issues.
  • Incident & Problem Resolution:
    Support issue resolution by partnering with senior engineers to perform basic root-cause analysis and document fixes and learnings.
  • Access & User Management:
    Help manage users, roles, permissions, and access requests while following security and governance standards.
  • Cloud & SaaS Exposure:
    Gain practical exposure to cloud architecture concepts (primarily Microsoft Azure) and understand how SaaS platforms integrate with cloud services.
  • Documentation & Runbooks:
    Assist in creating and maintaining support documentation, operational guides, and standard operating procedures.
  • Collaboration & Learning:
    Work closely with BI, AI, and Platform teams in an Agile environment and participate in team meetings and knowledge-sharing sessions.

What You Will Learn
  • Fundamentals of cloud and SaaS platform administration
  • How enterprise analytics platforms are operated and supported
  • Troubleshooting and problem-solving techniques for real-world production systems
  • Basic monitoring, access management, and platform governance concepts
  • How analytics, BI, and AI workloads run on modern cloud platforms

Qualifications
  • Current graduate student in Computer Science, Artificial Intelligence, Mathematics, or a related field.
  • Foundational programming skills in writing moderately complex SQL.
  • Familiarity with AI concepts through coursework or personal projects.
  • Excellent problem-solving skills and a high degree of technical curiosity.
  • Eager to learn in a rapidly evolving field and able to adapt to new tools quickly.

Requirements vs. Optional:
  • Need: Power BI experience in creating Semantic Models that reference a data warehouse and then validating those to the source or spot checking against existing report (Power BI and MicroStrategy / Strategy are widely used).
  • Need: Ability to write and understand SQL.
  • Optional: Ability to use Excel for validating results from reporting.
  • Optional: Any advanced methods that use AI Agentic... options for transitioning logic in Power BI Semantic Models from one database (e.g. Snowflake) to another (Databricks)
  • Currently pursuing an undergraduate or graduate degree in Computer Science, Information Systems, IT, Engineering, or a related field.
  • Strong interest in cloud technologies, SaaS platforms, and system operations.
  • Willingness to learn, troubleshoot issues, and dig into how platforms work.
  • Analytical mindset with good problem-solving skills.
  • Strong communication skills and ability to document learnings clearly.
  • Self-motivated, curious, and comfortable working in a team-based environment.

Helpful / Preferred Experience
  • Coursework or hands-on exposure to Microsoft Azure.
  • Azure Fundamentals (AZ-900) course completion or certification is helpful (not required).
  • Familiarity with cloud computing concepts (compute, storage, networking, identity).
  • Basic knowledge of SQL, scripting, or data concepts.
  • Exposure to analytics or BI tools (Power BI, Tableau, Databricks, Snowflake) is a plus but not required.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

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